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Lead Data Scientist ai-jobs.net
CenturyLink (NYSE: CTL) is the second largest U.S. communications provider to global enterprise customers. With customers in more than 60 countries and an intense focus on the customer experience, CenturyLink strives to be the world's best networking company by solving customers' increased demand for reliable and secure connections. The company also serves as its customers' trusted partner, helping them manage increased network and IT complexity and providing managed network and cyber security solutions that help protect their business. Key member of the Ops Transformation team who will support our Field Operations and Service Assurance teams with insights gained from analyzing company data. The ideal candidate must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and delivering solutions to drive KPI improvements.
Sr Data Scientist ai-jobs.net
CenturyLink (NYSE: CTL) is the second largest U.S. communications provider to global enterprise customers. With customers in more than 60 countries and an intense focus on the customer experience, CenturyLink strives to be the world's best networking company by solving customers' increased demand for reliable and secure connections. The company also serves as its customers' trusted partner, helping them manage increased network and IT complexity and providing managed network and cyber security solutions that help protect their business. The Data Scientist is a highly skilled individual contributor, under minimal supervision, who designs and develops programs, methods, processes, and systems to consolidate and analyze diverse, structured and unstructured "big data" sources to generate actionable insights and solutions using machine learning and advanced analytics. The Data Scientist proactively identifies meaningful insights by executing data discovery, exploratory data analysis, and iteratively developing predictive and prescriptive models to identify optimal solutions.
Lead Data Scientist ai-jobs.net
CenturyLink (NYSE: CTL) is the second largest U.S. communications provider to global enterprise customers. With customers in more than 60 countries and an intense focus on the customer experience, CenturyLink strives to be the world's best networking company by solving customers' increased demand for reliable and secure connections. The company also serves as its customers' trusted partner, helping them manage increased network and IT complexity and providing managed network and cyber security solutions that help protect their business. This Data Scientist role is within the Black Lotus Labs Threat Research Team. This security-focused advanced team utilizes a variety of methods to find malicious actors, botnets, and other risk types in the Internet.
Sr Lead Data Scientist ai-jobs.net
CenturyLink (NYSE: CTL) is the second largest U.S. communications provider to global enterprise customers. With customers in more than 60 countries and an intense focus on the customer experience, CenturyLink strives to be the world's best networking company by solving customers' increased demand for reliable and secure connections. The company also serves as its customers' trusted partner, helping them manage increased network and IT complexity and providing managed network and cyber security solutions that help protect their business. Job Summary Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments.
HPE Is Making Artificial Intelligence Accessible and Practical
Phase 2: Experiment: We help customers test the waters with A.I. by applying pre-determined experiments to a companys unique problems both within our Centers of Excellence, designed to assist IT departments and data scientists who are looking to accelerate their deep learning applications and realize better ROI from their deep learning deployments in the near term, and eventually within a company. With HPE Pointnext, scaling deep learning and A.I. is as easy as turning the dial for more capacity, but without losing control of the underlying architecture. We offer customers a flexible consumption services for HPE infrastructure, which avoids over-provisioning, increases cost savings and scales up and down as needed to accommodate the needs of deep learning deployments.
This genius used deepfakes to "fix" the new "The Lion King"
Last month, Disney released a remake of its classic film "The Lion King" -- and which turned out to be a CGI spectacle that critics said "just doesn't work with the material." Now, a video on YouTube made by visual effects artist Jonty Pressinger shows how deepfake technology could be used to combine the two art styles -- wide-eyed, expressive faces drawn in the style of the original film provide a more emotive, recognizable cast of characters when edited into the realism-focused style of the new film. The video shows a side-by-side cut of the new film's trailer and the deepfake edits. Now, instead of looking like any other bewildered cat, Simba has the soulful visage one might expect from a Disney film. The villainous lion Scar once more has his signature, exquisitely-groomed black mane, and Pumbaa no longer looks like some random, er, feral hog.
Can AI understand culture?
Since the consolidation of evolutionary theory in the 19th century, many scholars have believed that progress is a linear phenomenon. For it to succeed, one must be as rational as possible, make improvements every time and follow a rigorous set of rules that are known as the scientific method. During this time, certain disciplines such as the biological and physical sciences have been glorified as essential tools for human advancement-- all while leaving the arts, humanities and social sciences behind and deeming them less important for human growth. However, we are reaching a point where the traditional areas that were clearly delineated are blurring, and the once subordinated masteries that focused on the human experience are becoming essential. My background in biological anthropology has catalyzed not only a series of thoughts of possible solutions, but most importantly, a plethora of questions for the human context that lies ahead.